Interactive Multiobjective Fuzzy Random Linear Programming through Fractile Criteria

We propose an interactive fuzzy decision making method for multiobjective fuzzy random linear programming problems through fractile criteria optimization. In the proposed method, it is assumed that the decision maker has fuzzy goals for not only objective functions but also permissible probability l...

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Main Authors: Hitoshi Yano, Masatoshi Sakawa
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Advances in Fuzzy Systems
Online Access:http://dx.doi.org/10.1155/2012/521080
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author Hitoshi Yano
Masatoshi Sakawa
author_facet Hitoshi Yano
Masatoshi Sakawa
author_sort Hitoshi Yano
collection DOAJ
description We propose an interactive fuzzy decision making method for multiobjective fuzzy random linear programming problems through fractile criteria optimization. In the proposed method, it is assumed that the decision maker has fuzzy goals for not only objective functions but also permissible probability levels in a fractile optimization model, and such fuzzy goals are quantified by eliciting the corresponding membership functions. Using the fuzzy decision, such two kinds of membership functions are integrated. In the integrated membership space, the satisfactory solution is obtained from among an extended Pareto optimal solution set through the interaction with the decision maker. An illustrative numerical example is provided to demonstrate the feasibility and efficiency of the proposed method.
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institution Kabale University
issn 1687-7101
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language English
publishDate 2012-01-01
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series Advances in Fuzzy Systems
spelling doaj-art-41f8cc111e354cbf9b9f4f4e0ce1e1462025-02-03T05:52:11ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2012-01-01201210.1155/2012/521080521080Interactive Multiobjective Fuzzy Random Linear Programming through Fractile CriteriaHitoshi Yano0Masatoshi Sakawa1School of Humanities and Social Sciences, Nagoya City University, Nagoya 467-8501, JapanFaculty of Engineering, Hiroshima University, Hiagashi-hiroshima 739-8527, JapanWe propose an interactive fuzzy decision making method for multiobjective fuzzy random linear programming problems through fractile criteria optimization. In the proposed method, it is assumed that the decision maker has fuzzy goals for not only objective functions but also permissible probability levels in a fractile optimization model, and such fuzzy goals are quantified by eliciting the corresponding membership functions. Using the fuzzy decision, such two kinds of membership functions are integrated. In the integrated membership space, the satisfactory solution is obtained from among an extended Pareto optimal solution set through the interaction with the decision maker. An illustrative numerical example is provided to demonstrate the feasibility and efficiency of the proposed method.http://dx.doi.org/10.1155/2012/521080
spellingShingle Hitoshi Yano
Masatoshi Sakawa
Interactive Multiobjective Fuzzy Random Linear Programming through Fractile Criteria
Advances in Fuzzy Systems
title Interactive Multiobjective Fuzzy Random Linear Programming through Fractile Criteria
title_full Interactive Multiobjective Fuzzy Random Linear Programming through Fractile Criteria
title_fullStr Interactive Multiobjective Fuzzy Random Linear Programming through Fractile Criteria
title_full_unstemmed Interactive Multiobjective Fuzzy Random Linear Programming through Fractile Criteria
title_short Interactive Multiobjective Fuzzy Random Linear Programming through Fractile Criteria
title_sort interactive multiobjective fuzzy random linear programming through fractile criteria
url http://dx.doi.org/10.1155/2012/521080
work_keys_str_mv AT hitoshiyano interactivemultiobjectivefuzzyrandomlinearprogrammingthroughfractilecriteria
AT masatoshisakawa interactivemultiobjectivefuzzyrandomlinearprogrammingthroughfractilecriteria